Systems Engineer - Machine Learning
Core
Design track-fusion pipelines, build threat-assignment algorithms, and conduct sensitivity analyses for next-generation missile defense and fire control systems.
Role type
Senior Systems Engineer - Machine Learning (Defense)
Builds
Real-time 3D command and control center components, weapon-target assignment algorithms, and sensor fusion pipelines.
Domain
Defense / Missile Defense / Sensor Fusion / Algorithmic Physics
Deliverable
production ML models
Required skills
Applied mathematics, Physics, Python, C++, PyTorch, TensorFlow, GPU programming, Multi-agent reinforcement learning, Mathematical modeling, Foundation models, Algorithm development
Preferred skills
Missile defense concepts, Radar/sensor processing, Flight dynamics, Threat intelligence, Discrimination algorithms, Fire control systems
Technologies
Python, C++, PyTorch, TensorFlow, MATLAB, Linux, Windows
Responsibilities
Research, develop, and deploy complex machine learning models (generative AI, RL, deep neural networks, physics-based models); Formulate and solve complex physics problems for object detection, tracking, and discrimination; Execute track fusion and threat classification; Design and defend rigorous trade studies and parametric evaluations; Translate mathematical equations into functional code for simulation and verification; Bridge low-level physics inputs with high-level mission outputs.
Seniority
Senior, hands-on IC